AI security

Koi ✓

Analyze browser extension code to uncover hidden risks.

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Verdict

A quick read before you dig into the full page.

Best if
Analyze browser extension code to uncover hidden risks
Skip if
Limited information on data privacy
Pick this when
Comprehensive risk analysis

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Overview

Koi is a tool that provides comprehensive risk analysis for browser extension security. It explores the code of browser extensions to identify hidden behavioral patterns, supply-chain vulnerabilities, and broader security implications beyond permissions.

The AI-driven platform operates on a preventive policy module, aiming to minimize marketplace risks. Its core feature, 'Wings', functions as an LLM-first risk engine that assesses endpoint software, giving detailed insights on its functionality, the publisher, and composition.

The tool regularly scans software marketplaces, app stores, and registries to fetch updated information on new software. It examines not just the declared functionality, but also the actual code behind the software, enabling a comparison between promised and actual functionality.

Furthermore, 'Wings' scores the risk associated with the software based upon the indicators detected and updates these scores with software changes and new versions.

This tool is beneficial for security, IT, GRC, and SOC teams requiring critical risk data in their operations. Kois risk engine equips organizations with extensive data about the software, including details about the publisher profile, softwares functionalities, applied vulnerabilities, breach intelligence, and compliance data.

This allows them to make data-driven decisions on endpoint security.

Koi website

Access & connections

Where you can use Koi, and what it plugs into.

Platforms

Integrations

Capabilities

What this tool accepts, produces, and is strongest at.

Input

  • Code

Output

  • Text

Supported features

  • Cybersecurity

Pros & cons

Pros

  • Comprehensive risk analysis
  • Browser extension security
  • Identifies hidden behavioral patterns
  • Detects supply-chain vulnerabilities
  • Evaluates security implications
  • Preventive policy module
  • 'Wings' risk engine
  • Assesses endpoint software
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  • Detailed functionality insights
  • Scans software marketplaces
  • Checks app stores and registries
  • Updates on new software
  • Examines declared and actual functionality
  • Updates risk scores
  • Beneficial for IT, GRC, SOC teams
  • Extensive software data
  • Publisher profile analysis
  • Identifies applied vulnerabilities
  • Provides breach intelligence
  • Generates compliance data
  • Supports data-driven decisions
  • Enables endpoint security
  • LLM-first risk engine
  • Continuous marketplace scanning
  • Comparative code analysis
  • Publisher intelligence
  • Dynamic analysis on actual code
  • Software change responsive
  • Connected to outside world
  • Provides software categories, history
  • Populates vulnerabilities, capabilities insights
  • License and compliance information

Cons

  • No mobile application support
  • Only browser extension focused
  • Does not support non-browser software
  • Limited information on data privacy
  • Lacks real-time risk notifications
  • No multilingual support
  • No indication of integration capabilities
  • No offline mode available
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  • Inadequate publisher profile analysis

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Releases 1

Initial release September 11, 2025 Current
Initial release of Koi.

FAQ 12

What is Koi?
Koi is a comprehensive risk analysis tool specializing in browser extension security. It utilizes AI to explore, analyze, and understand the code of browser extensions, aiming to identify behavioral patterns, supply-chain vulnerabilities, and security implications beyond the permission sets.
What are the key features of Koi?
Key features of Koi include the 'Wings' LLM-first risk engine, proactive scanning of software marketplaces, app stores, and registries, analysis of actual code behind software, comparison between declared and actual software functionality, risk scoring, and facilitating data-driven decisions by providing extensive data about the software under inspection.
How does Koi's 'Wings' feature work?
'Wings' is Koi's LLM-first risk engine feature. It reads the code of non-binary software on the endpoint, providing information on what the software was actually programmed to do. It proactively scans marketplaces, app stores, and registries for new software, assesses the publisher based on their online presence and cross-marketplace reputation, compares the actual software with its declared functionality and assigns a risk score based on detected indicators.
Who can benefit from using Koi?
Security professionals, IT, GRC (Governance, Risk and Compliance), and SOC (Security Operations Centre) teams can benefit from using Koi. These teams often require critical risk data in their operations and Koi's extensive data about the software contributes key information for decision-making on endpoint security.
What does Koi's preventive policy module do?
Koi's preventive policy module minimizes marketplace risks by tracking, governing, and enabling software installs across all endpoints. It aids in the discovery and governance of all software, both binary and non-binary.
How does Koi's AI analyze a software's code?
Koi's AI analyzes a software's code through a combination of AI and LLMs (Low-Level Matchers). It reads and examines the software's code, providing insights into its intended functionality.
What kind of information does Koi provide about the software it evaluates?
Koi provides extensive details about the software it evaluates including information about its functionality, the publisher, and composition. It also identifies vulnerabilities, presents breach intelligence and gives compliance data. Basically, it provides all crucial risk data needed for security, IT, GRC, or SOC teams.
What does Koi's risk scoring capability entail?
Koi's risk scoring capability involves assigning a risk score to software based on detected indicators. These scores are dynamic and updated with every new software version or change detected.
In what ways does Koi support data-driven decision making?
By providing extensive and specific data about the software, including its functionalities, the publisher profile, and breach intelligence, Koi supports data-driven decision making. The risk score assigned to the software, reflecting the measured risk, further aids this purpose.
How does Koi help with endpoint security?
Koi aids in endpoint security by analyzing and providing insights on endpoint software. By leveraging it's 'Wings' feature, it proactively scans for new software in marketplaces, app stores, and registries, assesses the software, and provides a risk score based on detected vulnerability indicators.
What kind of vulnerabilities can Koi identify?
Koi can identify a wide range of vulnerabilities in software codes, from hidden behavioral patterns to supply-chain vulnerabilities that could pose security risks beyond the software permissions.
How does Koi's breach intelligence work?
Koi's breach intelligence feature works by researching software online. The AI agents search for pertinent information such as categories, history, known vulnerabilities, capability insights to enrich the software data, aiding in governance using actionable data.